Computer Aided Data Analysis
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Computer Aided Qualitative Data Analysis
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Author : Udo Kelle
language : en
Publisher: SAGE
Release Date : 1995-07-20
Computer Aided Qualitative Data Analysis written by Udo Kelle and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-07-20 with Mathematics categories.
Computer-Aided Qualitative Data Analysis offers an invaluable guide to the rapidly developing arena of research practice. It will be essential reading for researchers and graduate students across the social sciences who are engaged in qualitative research.
Computer Aided Data Analysis
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Author : William R. Green
language : en
Publisher: Wiley-Interscience
Release Date : 1985
Computer Aided Data Analysis written by William R. Green and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computers categories.
Designed for non-specialist computer users, here is an introduction to the data analysis techniques in common use in the applied sciences. Provides efficient procedures for analyzing a particular set of data, offering clear, complete treatments of the initial steps in computer data analysis, multivariate data analysis, fundamentals of computer plotting, enhanced display techniques, advanced statistical techniques such as geostatistics, and modeling and data interpretation.
Qualitative Computing Using Software For Qualitative Data Analysis
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Author : Mike Fisher
language : en
Publisher: Routledge
Release Date : 2017-07-05
Qualitative Computing Using Software For Qualitative Data Analysis written by Mike Fisher and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-05 with Reference categories.
As qualitative researchers incorporate computer assistance into their analytic approaches, important questions arise about the adoption of new technology. Is it worth learning computer-assisted methods? Will the pay-off be sufficient to justify the investment? Which programs are worth learning? What are the effects on the analysis process? This book complements the existing literature by giving a detailed account of the use of four major programs in analyzing the same data. Priority is given to the tasks of qualitative analysis rather than to program capability and the programs are treated as tools rather than as a discipline to be acquired. The key is not what the programs allow researcher to do, but whether the tasks that researchers need to undertake are facilitated by the software. Thus the study develops a user-centred approach to the adoption of computer-assisted qualitative data analysis. The author emphasises qualitative analysis as a creative craft, but one which must increasingly be subject to rigorous methodological scrutiny. The adoption of computer-aided methods offers opportunities, but also dangers and ultimately this book is about the scientific qualitative research. Written in a distinctive and succinct style, this book will be valuable to social science researchers and students interested in qualitative research and in the potential for computer-assisted analysis.
Computer Analysis And Qualitative Research
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Author : Dr Nigel G G Fielding
language : en
Publisher: SAGE
Release Date : 1998-06-08
Computer Analysis And Qualitative Research written by Dr Nigel G G Fielding and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-06-08 with Social Science categories.
The use of computers in qualitative research has redefined the way social researchers handle qualitative data. Two leading researchers in the field have written this lucid and accessible text on the principal approaches in qualitative research and show how the leading computer programs are used in computer-assisted qualitative data analysis (CAQDAS). The authors examine the advantages and disadvantages of computer use, the impact of research resources and the research environment on the research process, and the status of qualitative research. They provide a framework for developing the craft and practice of CAQDAS and conclude by examining the latest techniques and their implications for the evolution of qualitative research.
Computer Aided Multivariate Analysis
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Author : Abdelmonem A. Afifi
language : en
Publisher:
Release Date : 1984
Computer Aided Multivariate Analysis written by Abdelmonem A. Afifi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Mathematics categories.
Increasingly, researchers need to perform multivariate statistical analyses on their data. Unfortunately, a lack of mathematical training prevents many from taking advantage of these advanced techniques, in part, because books focus on the theory & neglect to explain how to perform & interpret multivariate analyses on real-life data. For years, Afifi & Clark's Computer-Aided Multivariate Analysis has been a welcome exception-helping researchers choose the appropriate analyses for their data, carry them out, & interpret the results. Only a limited knowledge of statistics is assumed, & geometrical & graphical explanations are used to explain what the analyses do. However, the basic model is always given, & assumptions are discussed. Reflecting the increased emphasis on computers, the Third Edition includes three additional statistical packages written for the personal computer. The authors also discuss data entry, database management, data screening, data transformations, as well as multivariate data analysis. Another new chapter focuses on log-linear analysis of multi-way frequency tables. Students in a wide range of fields-ranging from psychology, sociology, & physical sciences to public health & biomedical science-will find Computer-Aided Multivariate Analysis especially informative & enlightening.
Using Software In Qualitative Research
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Author : Ann Lewins
language : en
Publisher: SAGE
Release Date : 2007-04-12
Using Software In Qualitative Research written by Ann Lewins and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-12 with Social Science categories.
Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS), helping the reader choose the most appropriate package for their needs and to get the most out of the software once they are using it. This step-by-step book considers a wide range of tasks and processes, bringing them together to demystify qualitative software and encourage flexible and critical choices and uses of software in supporting analysis. The book can be read as a whole or by chapters, building on one another to provide a holistic sense of the analytic journey without advocating a particular sequential process. Accessible and comprehensive, Using Software in Qualitative Research provides a practical but analytically-grounded guide to thinking about and using software and will be an essential companion for any qualitative researcher.
Computer Aided Systems Theory
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Author :
language : en
Publisher:
Release Date : 1991
Computer Aided Systems Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computer-aided design categories.
Guide To Intelligent Data Analysis
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Author : Michael R. Berthold
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-23
Guide To Intelligent Data Analysis written by Michael R. Berthold and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-23 with Computers categories.
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examplesto support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.
Computer Aided Qualitative Analysis Software
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Author : Áine M. Humble
language : en
Publisher:
Release Date : 2020
Computer Aided Qualitative Analysis Software written by Áine M. Humble and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Sociology categories.
Computer-aided qualitative analysis software, also known as qualitative data analysis software (QDAS), was first introduced in the early 1980s, and many different programs exist (e.g., ATLAS.ti, Dedoose, MAXQDA, NVivo, Transana). QDAS programs offer many benefits to qualitative researchers. For example, they greatly speed up mundane aspects of qualitative research, allow researchers to effectively organize their research projects into one electronic file, and assist with tasks such as coding, annotating, diagramming, and generating reports. However, technology must always be critically assessed for its impact on practice. This entry is divided into four sections. First, an overview of the history of QDAS, in six stages, is described. Second, issues around usage are presented, such as how individuals report they are using the programs and if it makes a difference to one's analysis whether a program is used or what type of program is used. Reflexivity is described in the third section, addressing factors such as the need to balance both closeness and distance with data when using software and how reflexive moments can (and should) occur throughout one's analysis when using QDAS. The final section centers on pedagogical concerns related to teaching this software to individuals. A central theme of this entry is that although QDAS programs provide many benefits to qualitative users, the interpretation ultimately resides with the user; QDAS programs are no substitute for the hard analytic work carried out by the researchers themselves.
Computer Aided Multivariate Analysis Fourth Edition
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Author : Abdelmonem Afifi
language : en
Publisher: CRC Press
Release Date : 2003-12-29
Computer Aided Multivariate Analysis Fourth Edition written by Abdelmonem Afifi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-12-29 with Mathematics categories.
Computer-Aided Multivariate Analysis, Fourth Edition enables researchers and students with limited mathematical backgrounds to understand the concepts underlying multivariate statistical analysis, perform analysis using statistical packages, and understand the output. New topics include Loess and Poisson regression, nominal and ordinal logistic regression, interpretation of interactions in logistic and survival analysis, and imputation for missing values. This book includes new exercises and references, and updated options in the latest versions of the statistical packages. All data sets and codebooks are available for download. The authors explain the assumptions made in performing each analysis and test, how to determine if your data meets those assumptions, and what to do if they do not. What to Watch out for sections in each chapter warn of common difficulties. By reading this text, you will know what method to use with your data set, how to get the results, and how to interpret them and explain them to others. New in the Fourth Edition: Expanded explanation of checking for goodness of fit in logistic regression and survival analysis Kaplan-Meier estimates of survival curves, formal tests for comparing survival between groups, interactions and the use of time-dependent covariates in survival analysis Expanded discussion of how to handle missing values Latest features of the S-PLUS package in addition to SAS, SPSS, STATA, and STATISTICA for multivariate analysis Data sets for the problems are available at the CRC web site: http://www.crcpress.com/product/isbn/9781584883081 Commands and output for examples used in the text for each statistical package are available at the UCLA web site: http://www.ats.ucla.edu/stat/examples/cama4/